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Location Call # Volume Status
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Author Awange, Joseph., author. Author. http://id.loc.gov/vocabulary/relators/aut.
Title Hybrid Imaging and Visualization : Employing Machine Learning with Mathematica - Python / by Joseph Awange, Béla Paláncz, Lajos Völgyesi.
Edition First edition 2020.
OCLC 978-3-030-26153-5
ISBN 9783030261535
ISBN/ISSN 10.1007/978-3-030-26153-5 doi
Publisher Cham : Springer International Publishing : Imprint: Springer, 2020.
Description XVII, 406 pages 521 illustrations, 456 illustrations in color. : online resource
text file PDF rda
LC Subject heading/s Remote sensing.
Optical data processing.
Geophysics.
Space sciences.
Other
Subject heading/s		 Remote Sensing/Photogrammetry. http://scigraph.springernature.com/things/product-market-codes/J13010
Computer Imaging, Vision, Pattern Recognition and Graphics. http://scigraph.springernature.com/things/product-market-codes/I22005
Geophysics/Geodesy. http://scigraph.springernature.com/things/product-market-codes/G18009
Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics). http://scigraph.springernature.com/things/product-market-codes/P22030
Contents Dimension reduction -- Classification -- Clustering -- Regression -- Neural Networks.
Summary The book introduces the latest methods and algorithms developed in machine and deep learning (hybrid symbolic-numeric computations, robust statistical techniques for clustering and eliminating data as well as convolutional neural networks) dealing not only with images and the use of computers, but also their applications to visualization tasks generalized by up-to-date points of view. Associated algorithms are deposited on iCloud.
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